Imaging Machine Learning Engineer

Join Google’s Platforms and Devices team to apply machine learning to improve image quality across both hardware and software.

Responsibilities

• Improve image quality across the full hardware and software stack by aligning software tuning with hardware capabilities
• Fine-tune 3A algorithms to maintain strong performance across different lighting and environmental conditions
• Develop software tools that use machine learning (ML) automation to support image quality (IQ) tuning, testing, benchmarking, and calibration workflows

Requirements

• Bachelor’s degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or a related field, or equivalent practical experience
• 2 years of experience in Image Quality, Computer Vision, or a related technical field
• 2 years of experience using Python and C++ for algorithm development and implementation

Technologies

• Python
• C++
• Machine learning (ML)

Preferred Qualifications

• Master’s degree or PhD in a related field
• 3 years of professional experience in a related field
• Experience with SoC/ISP constraints, 3A tuning, or applying Deep Learning to real-time imaging pipelines
• Proven experience delivering high-quality, commercial, market-facing consumer cameras
• Demonstrated self-driven learning and ability to rapidly master new technologies and domains
• Excellent written and verbal communication skills, including translating technical concepts into clear, actionable insights for cross-functional partners

Benefits

• 15% bonus target
• Equity
• Benefits
• Health insurance
• 401k match

Location: Mountain View, CA (onsite)

Compensation: USD 132,000 - 189,000 per year